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(fix) prompt caching cost calculation OpenAI, Azure OpenAI #6231

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Merged
ishaan-jaff merged 2 commits into from
Oct 15, 2024
Merged

(fix) prompt caching cost calculation OpenAI, Azure OpenAI #6231

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95331dc
fix prompt caching cost calculation
ishaan-jaff Oct 15, 2024
cf87a6d
fix testing for prompt cache cost calc
ishaan-jaff Oct 15, 2024
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3 changes: 2 additions & 1 deletion litellm/llms/AzureOpenAI/cost_calculation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,8 @@ def cost_per_token(
model_info = get_model_info(model=model, custom_llm_provider="azure")

## CALCULATE INPUT COST
prompt_cost: float = usage["prompt_tokens"] * model_info["input_cost_per_token"]
total_prompt_tokens: float = usage["prompt_tokens"] - usage._cache_read_input_tokens
prompt_cost: float = total_prompt_tokens * model_info["input_cost_per_token"]

## CALCULATE OUTPUT COST
completion_cost: float = (
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3 changes: 2 additions & 1 deletion litellm/llms/OpenAI/cost_calculation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,8 @@ def cost_per_token(
model_info = get_model_info(model=model, custom_llm_provider="openai")

## CALCULATE INPUT COST
prompt_cost: float = usage["prompt_tokens"] * model_info["input_cost_per_token"]
total_prompt_tokens: float = usage["prompt_tokens"] - usage._cache_read_input_tokens
prompt_cost: float = total_prompt_tokens * model_info["input_cost_per_token"]

## CALCULATE OUTPUT COST
completion_cost: float = (
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14 changes: 9 additions & 5 deletions tests/local_testing/test_completion_cost.py
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Expand Up @@ -1393,10 +1393,13 @@ def test_cost_azure_openai_prompt_caching():
usage = response_2.usage

_expected_cost2 = (
usage.prompt_tokens * model_info["input_cost_per_token"]
+ usage.completion_tokens * model_info["output_cost_per_token"]
+ usage.prompt_tokens_details.cached_tokens
* model_info["cache_read_input_token_cost"]
(usage.prompt_tokens - usage.prompt_tokens_details.cached_tokens)
* model_info["input_cost_per_token"]
+ (usage.completion_tokens * model_info["output_cost_per_token"])
+ (
usage.prompt_tokens_details.cached_tokens
* model_info["cache_read_input_token_cost"]
)
)

print("_expected_cost2", _expected_cost2)
Expand Down Expand Up @@ -1515,7 +1518,8 @@ def test_cost_openai_prompt_caching():
usage = response_2.usage

_expected_cost2 = (
usage.prompt_tokens * model_info["input_cost_per_token"]
(usage.prompt_tokens - usage.prompt_tokens_details.cached_tokens)
* model_info["input_cost_per_token"]
+ usage.completion_tokens * model_info["output_cost_per_token"]
+ usage.prompt_tokens_details.cached_tokens
* model_info["cache_read_input_token_cost"]
Expand Down